Yang Xue

1. Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft
   2023/12/14 by Hao Li, Li, Hao, Yang Xue +17 · 17 citations
   Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering Research #Software Testing and Debugging Techniques
2. Technical Report of HelixFold3 for Biomolecular Structure Prediction
   2024/08/30 by Lihang Liu, Liu, Lihang, Shanzhuo Zhang +23 · 1 voice · 4 citations
   #q-bio.BM #cs.AI #cs.LG
3. FilmAgent: A Multi-Agent Framework for End-to-End Film Automation in Virtual 3D Spaces
   2025/01/22 by Zhenran Xu, Xu, Zhenran, Longyue Wang +17 · 5 citations
   Computer Science · Engineering · #3D Modeling in Geospatial Applications #3D Shape Modeling and Analysis #Computation and Language (cs.CL) #Computer Graphics and Visualization Techniques #FOS: Computer and information sciences #Graphics (cs.GR) #Multiagent Systems (cs.MA)
4. A Simple Aerial Detection Baseline of Multimodal Language Models
   2025/01/16 by Qingyun Li, Li, Qingyun, Yushi Chen +11 · 3 citations
   Computer Science · #Speech and dialogue systems #Natural Language Processing Techniques
5. Single-Cell and Spatial Transcriptomic Analysis of Human Skin Delineates Intercellular Communication and Pathogenic Cells
   2023/05/02 by Kim Thrane, Mårten C.G. Winge, M.C.G. Winge +26 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Medicine · Immunology and Microbiology · #Single-cell and spatial transcriptomics #Skin Protection and Aging #T-cell and B-cell Immunology
6. Unifying Sequences, Structures, and Descriptions for Any-to-Any Protein Generation with the Large Multimodal Model HelixProtX
   2024/07/12 by Zhiyuan Chen, Tianhao Chen, Chen, Zhiyuan +11 · 1 citation
   Biochemistry, Genetics and Molecular Biology · #Artificial Intelligence (cs.AI) #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Genetics, Bioinformatics, and Biomedical Research #Machine Learning (cs.LG)